Robust qualitative estimation of time-varying contact rates in uncertain epidemics

We will inevitably face new epidemics where the lack of long time-series data and the uncertainty about the outbreak dynamics make difficult to obtain quantitative predictions. Here we present an algorithm to qualitatively infer time-varying contact rates from short time-series data, letting us pred...

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Main Authors: Marco Tulio Angulo, Jorge X. Velasco-Hernandez
Format: Article
Language:English
Published: Elsevier 2018-09-01
Series:Epidemics
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436517300750
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author Marco Tulio Angulo
Jorge X. Velasco-Hernandez
author_facet Marco Tulio Angulo
Jorge X. Velasco-Hernandez
author_sort Marco Tulio Angulo
collection DOAJ
description We will inevitably face new epidemics where the lack of long time-series data and the uncertainty about the outbreak dynamics make difficult to obtain quantitative predictions. Here we present an algorithm to qualitatively infer time-varying contact rates from short time-series data, letting us predict the start, relative magnitude and decline of epidemic outbreaks. Using real time-series data of measles, dengue, and the current zika outbreak, we demonstrate our algorithm can outperform existing algorithms based on estimating reproductive numbers. Keywords: Epidemic prediction, Inference, Contact rate
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spelling doaj.art-862b5711db7a417ab6fd5cbb35f2397e2022-12-21T23:41:51ZengElsevierEpidemics1755-43652018-09-012498104Robust qualitative estimation of time-varying contact rates in uncertain epidemicsMarco Tulio Angulo0Jorge X. Velasco-Hernandez1CONACyT – Institute of Mathematics, Universidad Nacional Autónoma de México (UNAM), Juriquilla 76230, Mexico; Corresponding author.Institute of Mathematics, Universidad Nacional Autónoma de México (UNAM), Juriquilla 76230, MexicoWe will inevitably face new epidemics where the lack of long time-series data and the uncertainty about the outbreak dynamics make difficult to obtain quantitative predictions. Here we present an algorithm to qualitatively infer time-varying contact rates from short time-series data, letting us predict the start, relative magnitude and decline of epidemic outbreaks. Using real time-series data of measles, dengue, and the current zika outbreak, we demonstrate our algorithm can outperform existing algorithms based on estimating reproductive numbers. Keywords: Epidemic prediction, Inference, Contact ratehttp://www.sciencedirect.com/science/article/pii/S1755436517300750
spellingShingle Marco Tulio Angulo
Jorge X. Velasco-Hernandez
Robust qualitative estimation of time-varying contact rates in uncertain epidemics
Epidemics
title Robust qualitative estimation of time-varying contact rates in uncertain epidemics
title_full Robust qualitative estimation of time-varying contact rates in uncertain epidemics
title_fullStr Robust qualitative estimation of time-varying contact rates in uncertain epidemics
title_full_unstemmed Robust qualitative estimation of time-varying contact rates in uncertain epidemics
title_short Robust qualitative estimation of time-varying contact rates in uncertain epidemics
title_sort robust qualitative estimation of time varying contact rates in uncertain epidemics
url http://www.sciencedirect.com/science/article/pii/S1755436517300750
work_keys_str_mv AT marcotulioangulo robustqualitativeestimationoftimevaryingcontactratesinuncertainepidemics
AT jorgexvelascohernandez robustqualitativeestimationoftimevaryingcontactratesinuncertainepidemics